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High familiarity with data platform and applications such as S3, Tableau, Databricks, Redshift and Airflow. Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc.
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Job SummaryThe Provider Network Data Associate II is in support of the LA Care Health Plan's Medi-Cal, Healthy Families Program, Healthy Kids, Direct Medi-Cal, Special Needs Plan (SNP) and Duals Pilot Product Lines with sole responsibility for monitoring and evaluating the movement of providers across all Plan Partners and Participating Physician Groups (PPG's.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
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Strong skills in Data/Reporting tools e.g. SQL, Power BI. Python is strongly preferred. Knowledge and experience in data strategy and data transformation programs preferred.
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This position will be responsible for overseeing the design, development, and implementation of business intelligence solutions, with a strong focus on Microsoft Power BI, data warehouse management, ETL processes, and statistical data analysis.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite’s Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
$80,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in data sourcing technologies (external APIs, web-scraping, EDI files, etc.) 3+ years programming in Python, or Java/kotlin/scala is fine as well! Lead data ingestion (web-scraping, APIs, or any other protocoles) strategy.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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10+ years of hands-on experience focusing on elements of data governance such as data quality, data observability, data lineage, and data cataloging. Prioritize and lead initiatives in data quality, data observability, data lineage, data catalog, and business glossary as core components of data governance.
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Experience working with data: media analysis, media mix models, multi-touch attribution models, digital attribution, consumer research, and shopper insights. Investment and activation experience with performance-based digital media, Paid Search, and Retail Media.
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Knowledge of key Azure services - Azure App Service, Azure Data Factory, Datalake, Databricks, Synapse Analytics, Purview, SQL PaaS, VM, Storage, Azure SQL, vNet, Redis Cache, Resource Manager, Azure Diagnostics/ OMS, Traffic Manager, Azure CDN, Azure Notification Hubs, Azure Identity and Access Management, Infrastructure as Code etc.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Proficiency in Microsoft Power BI, including data modeling, DAX (Data Analysis Expressions), and MQuery. Knowledge of data warehousing concepts and T-SQL. Familiarity with data governance and security best practices.
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Experience in confocal microscopy, advanced molecular biology, genomic data analysis, and mammalian cell culture are highly desirable. The postdoctoral fellow will lead research projects, execute experiments and analyze data, write manuscripts and present at scientific meetings.
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